Optimizing Lithium-Ion Battery Modeling: A Comparative Analysis of PSO and GWO Algorithms

Optimizing Lithium-Ion Battery Modeling: A Comparative Analysis of PSO and GWO Algorithms

In recent years, the modeling and simulation of lithium-ion batteries have garnered attention due to the rising demand for reliable energy storage. Accurate charge cycle predictions are fundamental for optimizing battery performance and lifespan. This study compares particle swarm optimization (PSO)...

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Bibliographic Details
Main Authors: Mónica Camas-Náfate, Alberto Coronado-Mendoza, Carlos Vargas-Salgado, Jesús Águila-León, David Alfonso-Solar
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
Particle Swarm Optimization (PSO)
Grey Wolf Optimizer (GWO)
lithium-ion battery modeling
charge-discharge cycle predictions
bio-inspired algorithms
Online Access:https://www.mdpi.com/1996-1073/17/4/822

Internet

https://www.mdpi.com/1996-1073/17/4/822

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